tensorflow::ops::SparseReduceMaxSparse

Summary

This Op takes a SparseTensor and is the sparse counterpart to tf.reduce_max(). In contrast to SparseReduceMax, this Op returns a SparseTensor.

Reduces sp_input along the dimensions given in reduction_axes. Unless keep_dims is true, the rank of the tensor is reduced by 1 for each entry in reduction_axes. If keep_dims is true, the reduced dimensions are retained with length 1.

If reduction_axes has no entries, all dimensions are reduced, and a tensor with a single element is returned. Additionally, the axes can be negative, which are interpreted according to the indexing rules in Python.